Designing of the color KANSEI information map considering the individual characteristic by using multivariable analysis

Keiko Sato, Yasue Mitsukura, Minoru Fukumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The color design is one of the most important elements that influence the impression of products, therefore the technology which understands and reflects the consumer's sensibility is needed in the color design. Especially, the color coordination system that connects colors with impressions is expected as the system supporting the color design. Therefore, in the field of the KANSEI engineering, researches that model the correlation of colors (the arrangement of the color) and impression words have been done. However, the impression received from the color is various by individual, therefore, it is necessary to model the KANSEI information to each individual. In this paper, we analyze the data of the evaluation questionnaire of the color for the subject, and propose the method of extracting the KANSEI information of the subject. Concretely, by using the multivariable analysis, the correlation with an amount of the sensibility and the color feature is found. As a result, it is thought that the tendency of impressions to colors can be expressed in the sight.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages3706-3710
Number of pages5
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference

Other

Other2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Keywords

  • Cluster analysis
  • Color coordination
  • KANSEI information processing
  • Principal component analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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